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clip-hugging-face-finetuned

Zero-Shot Image Classification
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clip
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End of training

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Files changed (3) hide show
  1. README.md +16 -14
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -10,10 +10,10 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/b84n5788)
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/gen7nq9k)
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/mt052qmw)
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/s6yycgxb)
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  # clip-hugging-face-finetuned
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  This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
@@ -37,8 +37,8 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1.750650379338805e-06
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- - train_batch_size: 3
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  - eval_batch_size: 2
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -49,14 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0002 | 0.25 | 1 | 0.0000 |
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- | 0.001 | 0.5 | 2 | 0.0000 |
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- | 0.0 | 0.75 | 3 | 0.0000 |
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- | 0.0 | 1.0 | 4 | 0.0000 |
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- | 0.0 | 1.25 | 5 | 0.0000 |
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- | 0.0001 | 1.5 | 6 | 0.0000 |
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- | 0.0 | 1.75 | 7 | 0.0000 |
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- | 0.0 | 2.0 | 8 | 0.0000 |
 
 
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  ### Framework versions
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/uq5hn82n)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/mg3h1yqv)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/h2rqrxs0)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/bjp71783)
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  # clip-hugging-face-finetuned
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  This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1.2963514383416616e-06
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+ - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0002 | 0.2 | 1 | 0.0000 |
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+ | 0.0 | 0.4 | 2 | 0.0000 |
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+ | 0.0003 | 0.6 | 3 | 0.0000 |
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+ | 0.0 | 0.8 | 4 | 0.0000 |
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+ | 0.0 | 1.0 | 5 | 0.0000 |
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+ | 0.0 | 1.2 | 6 | 0.0000 |
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+ | 0.0 | 1.4 | 7 | 0.0000 |
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+ | 0.0016 | 1.6 | 8 | 0.0000 |
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+ | 0.0 | 1.8 | 9 | 0.0000 |
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+ | 0.0 | 2.0 | 10 | 0.0000 |
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  ### Framework versions
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